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Ssoscan: Automated Testing of Web Applications for Single Sign-On

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Ssoscan: Automated Testing of Web Applications for Single Sign-On SSOScan: Automated Testing of Web Applications for Single Sign-On Vulnerabilities Yuchen Zhou and David Evans, University of Virginia https://www.usenix.org/conference/usenixsecurity14/technical-sessions/presentation/zhou This paper is included in the Proceedings of the 23rd USENIX Security Symposium. August 20–22, 2014 • San Diego, CA ISBN 978-1-931971-15-7 Open access to the Proceedings of the 23rd USENIX Security Symposium is sponsored by USENIX SSOScan: Automated Testing of Web Applications for Single Sign-On Vulnerabilities Yuchen Zhou David Evans University of Virginia [yuchen, evans]@virginia.edu http://SSOScan.org Abstract To better understand and mitigate these risks, we de- Correctly integrating third-party services into web ap- veloped SSOScan, an automated vulnerability checker plications is challenging, and mistakes can have grave for applications using SSO. SSOScan takes a website consequences when third-party services are used for URL as input, determines if that site uses Facebook SSO, security-critical tasks such as authentication and autho- and automatically signs into the site using Facebook test rization. Developers often misunderstand integration re- accounts and completes the registration process when quirements and make critical mistakes when integrating necessary. Then, SSOScan simulates several attacks on services such as single sign-on APIs. Since traditional the site while observing the responses and monitoring programming techniques are hard to apply to programs network traffic to automatically determine if the appli- running inside black-box web servers, we propose to de- cation is vulnerable to any of the tested vulnerabilities. tect vulnerabilities by probing behaviors of the system. We focus only on Facebook SSO in this work, but our This paper describes the design and implementation of approach could be used to check SSO integrations using SSOScan, an automatic vulnerability checker for appli- other identity providers or other protocols. Many of our cations using Facebook Single Sign-On (SSO) APIs. We techniques could also be adapted to scan for vulnerabili- used SSOScan to study the twenty thousand top-ranked ties in integrating other security-critical services such as websites for five SSO vulnerabilities. Of the 1660 sites online payments and file sharing APIs. in our study that employ Facebook SSO, over 20% were found to suffer from at least one serious vulnerability. 1.1 Contributions 1 Introduction Our work makes two types of contributions: those related to the construction of our scanning tool which are largely Single Sign-On (SSO) services are increasingly used to independent of the particular vulnerabilities, and those implement authentication for modern applications. SSO- resulting from our large-scale study of Facebook SSO enabled applications allow users to log into an applica- implementations. tion using an established account (with a service such as Facebook or Twitter) and connect their account on the SSOScan. We explain the design and implementation of new site to an established Internet identity. Should the SSOScan (Section 3), as well as how to handle some of application need more information from the user, it may the challenges in the automation process. We describe ask the user for extra permissions from the established techniques that automatically perform user interactions service. Once granted, the requested information is re- to walk through the SSO process (Section 3.1), includ- turned to the application, which can then be used in the ing clicking the correct buttons and filling in registration transparent account registration process. forms. We collected information of almost 30,000 click Although these services provide SDKs intended to en- attempts for sites that implement Facebook SSO which able developers without security expertise to integrate shows in detail how the individual heuristics are affecting their services, actually integrating security-critical third- SSOScan’s behavior (Section 5.2). This provides exper- party services correctly can be difficult. Wang et al. iden- imental evidence to support our design choices and shed tified several ways applications integrating SSO SDKs light on future research that shares a similar goal. SSO- can be vulnerable to serious attacks even when develop- Scan can detect whether a target application contains any ers closely follow the documentation [27]. of the five vulnerabilities listed in Section 2.2 with an USENIX Association 23rd USENIX Security Symposium 495 average testing time of 3.5 minutes, and is able to check used in the first exchange. 792 (81%) of the 973 websites that implement functional A signed request is a base64 encoded Facebook SSO from the top 10,000 with no human inter- Signed request. string that contains a user identity, a code, and a signa- vention at all. ture that can be verified using an application’s app secret Large-scale study. We ran SSOScan on the top 20,000 and some other metainformation. Once issued, it is not US websites (Section 4). Key results from the study in- tied to Facebook (except for the enveloped code), and the clude finding at least one vulnerability in 345 of the 1660 signature can be verified locally. sites that use Facebook SSO (Section 4.1). We also learn how vulnerability rates vary due to different ways of in- tegrating Facebook SSO (Section 4.1.1). We manually 2.2 Vulnerabilities analyzed the 228 sites ranked in the top 10,000 that SSO- Our interest in building an automatic scanning tool was Scan cannot test automatically and report on the reasons initially motivated by the access token misuse vulnera- for failures (Section 4.2). Our study reveals the complex- bility reported by Wang et al. [27]. We further identified ity of automatically interacting with web sites that follow four new vulnerabilities that are both serious and suitable a myriad of designs, while suggesting techniques that for automatic testing. The first two vulnerabilities con- could improve future automated testing tools. In Sec- cern confusions about how authentication and authoriza- tion 6, we discuss our experiences reporting the vulnera- tion are done; the other three concern failures to protect bilities to site owners and possible ways SSOScan could important secrets. be deployed. Access token misuse. This vulnerability stems from confusion about authentication and authorization. In 2 Background OAuth 2.0, an access token is intended for authoriza- tion purposes only because it is not tied to any specific This section provides a brief introduction to single sign- application. When a service uses an access token to au- on systems, describes the vulnerabilities we checked, and thenticate users, it will also accept ones granted to any summarizes relevant previous work. other application. Figure 1 illustrates an impersonation attack that exploits this vulnerability: Alice visits Mal- lory’s website (step 1), logs in using Facebook SSO (2), 2.1 Single Sign-On and receives an access token from Facebook (3). Then, Mallory’s client-side code running in Alice’s browser A typical single sign-on process involves three parties. forwards the access token to Mallory (4), which presents Alice first visits a web application and elects to use SSO the token to a vulnerable application’s server (5). After to login. She is then redirected to the identity provider’s confirming the token represents Alice, Foo’s application SSO entry point (e.g., Facebook’s server). After she logs server authenticates Mallory as Alice (6). into Facebook, her OAuth credentials are issued to the application server. The application server confirms the Facebook User identity and authenticates the client. 2. Login OAuth uses three different types of (rather confu- singly-named) credentials: 3. Issue credentials 4. Forward 1. Visit Access token. An access token represents permissions credentials Foo app server granted by the user. For example, the application may Mallory request that user grant permission to access the birth- 6. Authenticated day and friend lists from her Facebook account. Upon 5. Reuse credentials the user’s consent, a token will be issued and forwarded to the application which may then use it to obtain the granted information from Facebook. An access token Figure 1: OAuth credential misuse eventually expires, but may be valid for a long time. Code. A code is used to exchange for an access token Signed request misuse. Sometimes developers have through the identity provider. This exchange requires the chosen the correct OAuth credentials to use, but still end application’s unique app secret to proceed. If the secret up with a vulnerable implementation. One way this hap- does not match, Facebook will not issue the token. This pens is when information decoded from a signed request means a code is bound to a user as well as a target appli- is used but the signature is never checked using the cation. With Facebook SSO, the code expires after being app secret. The attack to exploit this vulnerability is 2 496 23rd USENIX Security Symposium USENIX Association similar to the previous one, except that Mallory needs tive source-sink pairs. However, these techniques require to reuse the signed request in addition to access token. white-box access to the application (at least at the level of its binary), which is not available for remote web appli- When a developer registers an appli- App secret leak. cation testing. Automated web application testing tools cation with Facebook, she receives an app secret. It that work on the server implementation [1, 8, 16] do not is essential for the application owner to keep it a se- apply to large-scale vulnerability testing well. They ei- cret because the app secret is used as the key to cre- ther require access to application source code or other ate signed requests and to access many other privileged specific details such as UML or application states. For functionalities. However, careless developers may reveal our purposes, the test target (application server imple- this secret to clients, especially when using code flow to mentation) is only available as a black box.
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